Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

The introduction of millions of electric vehicles to the power grid will create a transformational opportunity for America’s decarbonization efforts. It also brings with it an important challenge.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Who are they? Richard Sutton and Andrew Barto are pioneers of reinforcement learning, a machine learning technique modern AI models utilize. Sutton is often referred to as the "father of reinforcement ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...